Search results for ""manning""

By adopting the micro frontends approach and designing your web apps as systems of features, you can deliver faster feature development, easier upgrades, and pick and choose the technology you use in your stack. Micro Frontends in Action is your guide to simplifying unwieldy frontends by composing them from small, well-defined units. You’ll learn to integrate web applications made up of smaller fragments using tools such as web components or server side includes, how to solve the organizational challenges of micro frontends, and how to create a design system that ensures an end user gets a consistent look and feel for your application. Key Features · Applying integration strategies with iframes, AJAX, server-side includes, web components and the app-shell approach · Optimizing for performance and asset delivery strategies · Designing coherent user interfaces · Migrating to a micro frontends architecture For intermediate web developers, team leaders, and software architects. About the technology The micro frontends approach extends the principles of microservices to frontend development. The application is divided into multiple independent vertical slices–from the database right up to the UI–then integrated using standards such as web components into a single user-facing frontend. Thanks to the smaller scope of a micro frontend, teams can deliver features faster, upgrade more easily, and make their own choices about their technology stack. Michael Geers is a software developer specializing in building user interfaces. He has written software for the web since he was a teenager. In the last few years, he has worked on various customer projects with verticalized architectures. He shares his experiences on this topic at international conferences, in a series of magazine articles, and website.

Read more less

Probabilistic Deep Learning shows how probabilistic deep learning models gives readers the tools to identify and account for uncertainty and potential errors in their results. Starting by applying the underlying maximum likelihood principle of curve fitting to deep learning, readers will move on to using the Python-based Tensorflow Probability framework, and set up Bayesian neural networks that can state their uncertainties. Key Features · The maximum likelihood principle that underlies deep learning applications · Probabilistic DL models that can indicate the range of possible outcomes · Bayesian deep learning that allows for the uncertainty occurring in real-world situations · Applying probabilistic principles to variational auto-encoders Aimed at a reader experienced with developing machine learning or deep learning applications. About the technology Probabilistic deep learning models are better suited to dealing with the noise and uncertainty of real world data —a crucial factor for self-driving cars, scientific results, financial industries, and other accuracy-critical applications. Oliver Dürr is professor for data science at the University of Applied Sciences in Konstanz, Germany. Beate Sick holds a chair for applied statistics at ZHAW, and works as a researcher and lecturer at the University of Zurich, and as a lecturer at ETH Zurich. Elvis Murina is a research assistant, responsible for the extensive exercises that accompany this book. Dürr and Sick are both experts in machine learning and statistics. They have supervised numerous bachelors, masters, and PhD the seson the topic of deep learning, and planned and conducted several postgraduate and masters-level deep learning courses. All three authors have been working with deep learning methods since 2013 and have extensive experience in both teaching the topic and developing probabilistic deep learning models.

Read more less

For developers with intermediate Java knowledge and experience building RESTful APIs. API Security in Action shows you how to create secure web APIs that you can confidently share with your business partners and expose for public usage. Security expert Neil Madden takes you under the hood of modern API security concepts, including token-based authentication for flexible multi-user security, bootstrapping a secure environment in a Kubernetes microservices architecture, and using lightweight cryptography to secure an IoT device. Chapter-by-chapter, you’ll build new layers of security onto a basic social network API, mastering techniques to protect against increasingly complex threat models and hostile environments. When you’re done, you’ll have the practical skills to design and implement APIs that are safe from most common attacks and are ready for the threats of tomorrow. The main API security controls: authentication, authorization, audit logging, rate limiting, and encryption Token-based authentication in web browsers and mobile clients Cloud Key Management Services in a Kubernetes environment Delegated authorization using OAuth 2.0

Read more less

As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques. about the technology Data structures and algorithms are the foundations for how programs store and process information. Choosing the optimal algorithms ensures that your programs are fast, efficient, and reliable. about the book Algorithms and Data Structures in Action expands on the basic algorithms you already know to give you a better selection of solutions to different programming problems. In it, you’ll discover techniques for improving priority queues, efficient caching, clustering data, and more. Each example is fully illustrated with graphics, language agnostic pseudo-code, and code samples in various languages. When you’re done, you will be able to implement advanced and little-known algorithms to deliver better performance from your code. what's inside Improving on basic data structures Efficient caching Nearest neighbour search, including k-d trees and S-trees Full ‘pseudo-code’ and samples in multiple languages about the readerFor programmers with basic or intermediate skills. Written in a language-agnostic manner, no specific language knowledge is required. about the author Marcello La Rocca is a research scientist and a full-stack engineer focused on optimization algorithms, genetic algorithms, machine learning and quantum computing. He has contributed to large-scale web applications at companies like Twitter and Microsoft, has undertaken applied research in both academia and industry, and authored the Neatsort adaptive sorting algorithm.

Read more less

With DApps built on the Ethereum blockchain, users can establish persistent, reliable ownership records for actions such as buying a car or a house with smart contracts to enforce blockchain-based verification before a transaction can be completed. Building Ethereum ĐApps introduces readers to decentralized applications based on the Ethereum blockchain platform. They’ll discover how to design smart contracts to enforce transaction rules, and then implement them in Ethereum's JavaScript-like Solidity language. Key Features · Understanding decentralized applications and the underlying technologies · Learning the key components of the Ethereum platform · Implementing smart contracts in Solidity Audience Written for developers with intermediate experience in an OO language or in JavaScript. Some understanding and experience with blockchain concepts is helpful. Author Bio Roberto Infante is an independent software development consultant who specializes in finance. Throughout his career, he has worked on a variety of innovative projects, such as the first internet mortgage approval system in the UK and one of the first online insurance underwriting systems in London.

Read more less

DESCRIPTION PowerShell provides a single, unified administrative command line from which to control and automate virtually every aspect of a Windows system. It accepts and executes commands immediately, and scripts can be written to manage most Windows servers like Exchange, IIS, and SharePoint. This updated book covers PowerShell features that run on Windows 7, Windows Server 2008 R2, and later. This edition is appropriate for PowerShell version 3 and later. There is coverage for new PowerShell version 5 features like PowerShellGet, however PowerShell fundamentals are unchanged. Learn Windows PowerShell in a Month of Lunches, Third Edition is an innovative tutorial designed for busy IT professionals. With just one hour a day for a month, readers will be automating Windows tasks faster than they ever thought possible. They start with the basics (What is PowerShell and what can be done with it). Then, it moves systematically through the techniques and features that facilitate efficient and effective results. KEY FEATURES• A great start with a great tutorial • Concise and easy-to-follow • Based on years of successful training techniques • Hands-on exercises and labs AUDIENCE Experience with Windows administration is helpful. No programming or scripting experience is assumed. ABOUT THE TECHNOLOGY PowerShell is an automation engine for Windows systems. It is being built into all major Microsoft products and many third party products. PowerShell allows for the automations of day to day administration tasks and is a must learn technology for administrators.

Read more less

Description Manning's bestselling Java 8 book has been revised for Java 9! In Java 8 and 9 in Action, readers build on their existing Java language skills with the newest features and techniques. The release of Java 9 builds on what made Java 8 so exciting. In addition to Java 8's lambdas and streams, Java 9 adds a host of new features of its own. It includes new library features to support reactive programming, which give users new ways of thinking about programming and writing code that is easier to read and maintain. Key Features · Contains all of Java 9’s new features · The Java Module System · Testing and debugging with lambdas Audience This book is written for programmers familiar with Java and basic OO programming. About the Technology Java 9 introduces the long-awaited Java Module System. Modules encourage users to write their code in smaller units that are easier to test, manage and release. Java 9 also helps programmers by enriching the functional-programming and streams features of Java 8.

Read more less

Elm is more than just a cutting-edge programming language, it's a chance to upgrade the way you think about building web applications. Once you get comfortable with Elm's refreshingly different approach to application development, you'll be working with a clean syntax, dependable libraries, and a delightful compiler that essentially eliminates runtime exceptions. Elm compiles to JavaScript, so your code runs in any browser, and Elm's best-in-class rendering speed will knock your socks off. Let's get started! Elm in Action teaches you how to build well-designed, highly performant web applications using the Elm language. As you read, you'll follow an application called Photo Groove that will show you how to structure your application's domain and behaviour, how to maintain a pleasantly modular architecture, and how to deliver a quality product using the Elm language. Along the way, you'll learn how to interact smoothly with browser functionality, servers, and JavaScript libraries, as well and picking up a few tricks for building fluid, intuitive user experiences. If you're new to functional programming, you'll also gain a practical understanding of techniques that will make you a better developer no matter what you're writing! Written for readers comfortable with web application development in JavaScript. No experience with Elm or functional programming required. Key Features Getting started with the Elm language Scalable design for production web applications Single-page applications in Elm Testing your applications Richard Feldman is a programmer and entrepreneur who loves to push the limits of browser-based programming. He's a front-end engineer at NoRedInk and a well-known member of the Elm community

Read more less

CSS lets programmers precisely specify the visual design of a web page or web app, from the structural layout of elements on the page to their individual look and feel. CSS in Depth takes web developers from beginner to advanced. In this book, they will revisit concepts that they are likely familiar with but have not completely mastered. Key Features: · Teaches the cascade, floats, and positioning · Example-rich · Covers both beginner and advanced topics This book is for both experienced and new web developers who want to deepen their knowledge of CSS. It assumes you have some basic experience with HTML, CSS, and the web. Some familiarity with JavaScript or other C-like programming language may be beneficial, but not required. About the Technology: CSS, short for “Cascading Style Sheets”, is one of the foundational technologies that drives the Internet. It specifies the visual design of a web page or web app, from the structural layout of elements on the page to their individual look and feel.

Read more less

"An absolutely wonderful book for someone that has tried and failed to understand functional programming." - William E. Wheeler Grokking Functional Programming is a practical book written especially for object-oriented programmers. It will help you map familiar ideas like objects and composition to FP concepts such as programming with immutable data and higher-order functions. You will learn how to write concurrent programs, how to handle errors and how to design your solutions with modularity and readability in mind. And you'll be pleased to know that we skip the academic baggage of lambda calculus, category theory, and the mathematical foundations of FP in favor of applying functional programming to everyday programming tasks. At the end of the book, you'll be ready to pick a functional language and start writing useful and maintainable software. about the technologyFunctional programming is more than just writing the same old code in Scala, Clojure, or Haskell. To grok FP—to really get it—you need to rewire your brain to see the world differently. We're here to help you flip the switch. Grokking Functional Programming teaches you first to break down problems in a new way so you can approach them from a FP mindset. Following carefully-selected examples with thorough, carefully-paced explanations, you'll immerse yourself in FP concept by concept. Along the way, exercises, checks for understanding, and even the occasional puzzler give you opportunities to think and practice what you're learning. what's insideDesigning with functions and types instead of objectsMultiple learning approaches to help you grok each new conceptA practical programming-first teaching styleProgramming with pure functions & immutable valuesWriting concurrent programs with a functional styleTesting functional programs about the readerThe book assumes that the reader has at least one year of experience developing software using a mainstream object-oriented programming language like Java. While examples use Scala, this is not a Scala book. The concepts will apply to any FP language, and no prior knowledge of Scala or FP is required. about the authorMichał Płachta started using Scala commercially in 2014 and has been an active contributor to the Scala and JVM communities since. He regularly speaks at conferences, runs workshops, and organizes meetups to help others become better at functional programming. You can find his blog at michalplachta.com.

Read more less

DESCRIPTIONEvent Streams in Action is a foundational book introducing the ULPparadigm and presenting techniques to use it effectively in data-richenvironments. The book begins with an architectural overview,illustrating how ULP addresses the thorny issues associated withprocessing data from multiple sources. It then guides the readerthrough examples using the unified log technologies Apache Kafkaand Amazon Kinesis and a variety of stream processing frameworksand analytics databases. Readers learn to aggregate events frommultiple sources, store them in a unified log, and build data processingapplications on the resulting event streams. As readers progressthrough the book, they learn how to validate, filter, enrich, and storeevent streams, master key stream processing approaches, and exploreimportant patterns like the lambda architecture, stream aggregation,and event re-processing. The book also dives into the methods andtools usable for event modelling and event analytics, along withscaling, resiliency, and advanced stream patterns. KEY FEATURES • Building data-driven applications that are easier to design,deploy, and maintain• Uses real-world examples and techniques• Full of figures and diagrams• Hands-on code samples and walkthroughs This book assumes that the reader has written some Java code. SomeScala or Python experience is helpful but not required. ABOUT THE TECHNOLOGYUnified Log Processing is a coherent data processing architecture thatcombines batch and near-real time stream data, event logging andaggregation, and data processing into a unified event stream. By efficientlycreating a single log of events from multiple data sources, Unified LogProcessing makes it possible to design large-scale data-driven applicationsthat are easier to design, deploy, and maintain. AUTHOR BIOAlexander Dean is co-founder and technical lead of Snowplow Analytics,an open source event processing and analytics platform.

Read more less

DESCRIPTION Functional programming (FP) is a programming style emphasizing functions that return consistent and predictable results regardless of a program's state. As a result, functional code is easier to test and reuse, simpler to parallelize, and less prone to bugs. Scala is an emerging JVM language that offers strong support for FP. Its familiar syntax and transparent interoperability with existing Java libraries make Scala a great place to start learning FP. Functional Programming in Scala is a serious tutorial for programmers looking to learn FP and apply it to the everyday business of coding. The book guides readers from basic techniques to advanced topics in a logical, concise, and clear progression. In it, they’ll find concrete examples and exercises that open up the world of functional programming. RETAIL SELLING POINTS Covers the practical benefits of Functional Programming Offers concrete examples and exercises Logically progresses from basic techniques to advance topics AUDIENCE No prior experience with FP or Scala is required. Perfect for programmers familiar with FP in other languages wishing to apply their knowledge in Scala. ABOUT THE TECHNOLOGY Functional programming (FP) is a programming style emphasizing functions that return consistent and predictable results regardless of a program's state. Scala is an emerging JVM language that offers strong support for FP.

Read more less

Learn more about stories, examples, and ground-breaking research in this book to help you unleash your creative potential as aprogrammer! For programmers of all experience and skill levels. In The Creative Programmer you will learn the processes and habits of successful creative individuals and discover how you can build creativity into your programming practice. This fascinating new book introduces the seven domains of creative problem solving and teaches practical techniques that apply those principles to software development. You will learn insights into creativity like: The seven dimensions of creativity in software engineering The scientific understanding of creativity and how it translates to programming Actionable advice and thinking exercises that will make you a better programmer Innovative communication skills for working more efficiently on a team Creative problem-solving techniques for tackling complex challenges Hand-drawn illustrations, reflective thought experiments, and brain-tickling example problems will help you get your creative juices flowing. You will soon be thinking up new and novel ways to tackle the big challenges of your projects. About the technology In software development, creative problem solving can be just as important as technical knowledge. A splash of creativity helps you break the conventional approaches that just aren't working. And just like technical skills, creativity can be learned and improved by practice. This innovative guide draws on the latest cognitive psychology research to reveal practical methods that will make you a more creative programmer.

Read more less

Learn statistics by analysing professional basketball data! Statistics Slam Dunk is an action-packed book that will help you build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. This textbook will upgrade your R data science skills by taking on practical analysis challenges based on NBA game and player data. You will take on the challenge of wrangling messy data to drill on the skills that will make you the star player on any data team. And just like in the real world, you will get no clean pre-packaged datasets in this book. You will develop a toolbox of R data skills including: Reading and writing data Installing and loading packages Transforming, tidying, and wrangling data Applying best-in-class exploratory data analysis techniques Creating compelling visualizations Developing supervised and unsupervised machine learning algorithms Execute hypothesis tests, including t-tests and chi-square tests for independence Compute expected values, Gini coefficients, and z-scores Is losing games on purpose a rational strategy? Which hustle statistics have an impact on wins and losses? Each chapter in this one-of-a-kind guide uses new data science techniques to reveal interesting insights like these. About the technology Amazing insights are hiding in raw data, and statistical analysis with R can help reveal them! R was built for data, and it supports modelling and statistical techniques including regression and classification models, time series forecasts, and clustering algorithms. And when you want to see your results, R's visualisations are stunning, with best-in-class plots and charts.

Read more less

Kubernetes is an essential tool for anyone deploying and managing cloud-native applications. It lays out a complete introduction to container technologies and containerized applications along with practical tips for efficient deployment and operation. This revised edition of the bestselling Kubernetes in Action contains new coverage of the Kubernetes architecture, including the Kubernetes API, and a deep dive into managing a Kubernetes cluster in production. In Kubernetes in Action, Second Edition, you'll start with an overview of how Docker containers work with Kubernetes and move quickly to building your first cluster. You'll gradually expand your initial application, adding features and deepening your knowledge of Kubernetes architecture and operation. As you navigate this comprehensive guide, you'll also appreciate thorough coverage of high-value topics like monitoring, tuning, and scaling Kubernetes in Action, Second Edition teaches you to use Kubernetes to deploy container-based distributed applications. You'll start with an overview of how Docker containers work with Kubernetes and move quickly to building your first cluster. You'll gradually expand your initial application, adding features and deepening your knowledge of Kubernetes architecture and operation. In this revised and expanded second edition, you'll take a deep dive into the structure of a Kubernetes-based application and discover how to manage a Kubernetes cluster in production. As you navigate this comprehensive guide, you'll also appreciate thorough coverage of high-value topics like monitoring, tuning, and scaling.

Read more less

Azure Infrastructure as Code is a comprehensive guide to seamlessly managing your application infrastructure with Azure's native IaC tools. The book is aimed at supporting collaboration between operations professionals and software developers, to help speed up and improve the quality of software delivery. After you master the basics, you'll dive into niche and advanced topics such as testing, reusing templates between multiple teams, and how you can define policy as code. Discover cutting-edge Deployment Stacks, and how they can help you clean up unused resources, group resources in logical containers to help visualize potential changes, and build starting plateaus for other teams to work on. About the Technology Infrastructure as code does away with time-consuming manual tasks—no more detailed scripts for creating the correct database or virtual machine. Instead, Azure's native IaC tools create infrastructure from a declarative specification in JSON (ARM) or a domain-specific language (Bicep). They empower users to create or recreate complete infrastructures with just a line of code, as well as take advantage of automation tools like Github Actions or Azure Pipelines.

Read more less

Machine Learning Engineering in Action lays out an approach to building deployable, maintainable production machine learning systems. You will adopt software development standards that deliver better code management, and make it easier to test, scale, and even reuse your machine learning code! You will learn how to plan and scope your project, manage cross-team logistics that avoid fatal communication failures, and design your code's architecture for improved resilience. You will even discover when not to use machine learning—and the alternative approaches that might be cheaper and more effective. When you're done working through this toolbox guide, you will be able to reliably deliver cost-effective solutions for organizations big and small alike. Following established processes and methodology maximizes the likelihood that your machine learning projects will survive and succeed for the long haul. By adopting standard, reproducible practices, your projects will be maintainable over time and easy for new team members to understand and adapt.

Read more less

To lead a data science team, you need to expertly articulate technology roadmaps, support a data-driven culture, and plan a data strategy that drives a competitive business plan. In this practical guide, you'll learn leadership techniques the authors have developed building multiple high-performance data teams. In How to Lead in Data Science you'll master techniques for leading data science at every seniority level, from heading up a single project to overseeing a whole company's data strategy. You'll find advice on plotting your long-term career advancement, as well as quick wins you can put into practice right away. Throughout, carefully crafted assessments and interview scenarios encourage introspection, reveal personal blind spots, and show development areas to help advance your career. Leading a data science team takes more than the typical set of business management skills. You need specific know-how to articulate technology roadmaps, support a data-driven culture, and plan a data strategy that drives a competitive business plan. Whether you're looking to manage your team better or work towards a seat at your company's top leadership table, this book will show you how.

Read more less

Operations Anti-Patterns, DevOps Solutions shows how to implement DevOps techniques in the kind of imperfect environments most developers work in. Part technology tutorial, part reference manual, and part psychology handbook, this practical guide shows you realistic ways to bring DevOps to your team when you don’t have the flexibility to make sweeping changes in organizational structure. Focused on process improvements you can make from the bottom up, everything in Operations Anti-Patterns, DevOps Solutions is actionable for your team—from constructing a streamlined workflow system to developing dashboards and operational metrics to measure the right aspects of performance. To better understand the behavior of both individuals and organizations, you’ll also learn the psychological reasoning behind why DevOps techniques are effective. Key Features · Creating a post-mortem framework to analyze projects and incidents · Monitoring and managing team time · Building cultural touchstones that assist with team building · Automating change management · Techniques for adopting automation to power your workflows For team leaders and managers. About the technology By emphasising shared responsibility for delivering software, DevOps transforms the way technology departments work. Looking beyond tool choice and design philosophy, DevOps demands a change in an organization’s attitude and approach. Jeff Smith has been in the technology industry for over 15 years, both as management and individual contributor. He has managed DevOps transformations at Centro, an ad-tech firm, and Grubhub, an online ordering platform.

Read more less

Terraform is a provisioning tool for building, changing, and combining cloud infrastructure safely and efficiently. By defining infrastructure as code, Terraform empowers its users to deploy their entire stack to the cloud at the touch of a button. • Cloud architecture with Terraform • Sharing Terraform modules and the private module registry • Running Terraform securely in a multitenant environment • Strategies for performing Blue/Green deployments with Terraform By treating your infrastructure as a codeable application, you can instantaneously create and launch new components and respond efficiently to changes in demand and other use requirements. Terraform in Action introduces the Infrastructure-as-Code model using the amazing Terraform automation tool, teaching readers how to design and manage servers that can be provisioned, shared, changed, tested, and deployed at the touch of a button. Readers will unlock the full potential of Terraform to manage your infrastructure as easily as they manage their codebase. Written for readers experienced with major cloud platforms such as AWS or Google Cloud. Examples are in the Go language.

Read more less

Pipelines can be challenging to manage, especially when your data has to flow through a collection of application components, servers, and cloud services. Airflow lets you schedule, restart, and backfill pipelines, and its easy-to-use UI and workflows with Python scripting has users praising its incredible flexibility. Data Pipelines with Apache Airflow takes you through best practices for creating pipelines for multiple tasks, including data lakes, cloud deployments, and data science. Data Pipelines with Apache Airflow teaches you the ins-and-outs of the Directed Acyclic Graphs (DAGs) that power Airflow, and how to write your own DAGs to meet the needs of your projects. With complete coverage of both foundational and lesser-known features, when you’re done you’ll be set to start using Airflow for seamless data pipeline development and management. Key Features Framework foundation and best practices Airflow's execution and dependency system Testing Airflow DAGs Running Airflow in production For data-savvy developers, DevOps and data engineers, and system administrators with intermediate Python skills. About the technology Data pipelines are used to extract, transform and load data to and from multiple sources, routing it wherever it’s needed -- whether that’s visualisation tools, business intelligence dashboards, or machine learning models. Airflow streamlines the whole process, giving you one tool for programmatically developing and monitoring batch data pipelines, and integrating all the pieces you use in your data stack. Bas Harenslak and Julian de Ruiter are data engineers with extensive experience using Airflow to develop pipelines for major companies including Heineken, Unilever, and Booking.com. Bas is a committer, and both Bas and Julian are active contributors to Apache Airflow.

Read more less

Voice assistants, automated customer service agents, and other cutting-edge human-to-computer interactions rely on accurately interpreting language as it is written and spoken. Real-world Natural Language Processing teaches you how to create practical NLP applications without getting bogged down in complex language theory and the mathematics of deep learning. In this engaging book, you’ll explore the core tools and techniques required to build a huge range of powerful NLP apps. about the technologyNatural language processing is the part of AI dedicated to understanding and generating human text and speech. NLP covers a wide range of algorithms and tasks, from classic functions such as spell checkers, machine translation, and search engines to emerging innovations like chatbots, voice assistants, and automatic text summarization. Wherever there is text, NLP can be useful for extracting meaning and bridging the gap between humans and machines. about the book Real-world Natural Language Processing teaches you how to create practical NLP applications using Python and open source NLP libraries such as AllenNLP and Fairseq. In this practical guide, you’ll begin by creating a complete sentiment analyzer, then dive deep into each component to unlock the building blocks you’ll use in all different kinds of NLP programs. By the time you’re done, you’ll have the skills to create named entity taggers, machine translation systems, spelling correctors, and language generation systems. what's inside Design, develop, and deploy basic NLP applications NLP libraries such as AllenNLP and Fairseq Advanced NLP concepts such as attention and transfer learning about the readerAimed at intermediate Python programmers. No mathematical or machine learning knowledge required. about the author Masato Hagiwara received his computer science PhD from Nagoya University in 2009, focusing on Natural Language Processing and machine learning. He has interned at Google and Microsoft Research, and worked at Baidu Japan, Duolingo, and Rakuten Institute of Technology. He now runs his own consultancy business advising clients, including startups and research institutions.

Read more less

To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest programming fields. Key Features · 2D and 3D vector math · Matrices and linear transformations · Core concepts from linear algebra · Calculus with one or more variables · Algorithms for regression, classification, and clustering · Interesting real-world examples Written for programmers with solid algebra skills (even if they need some dusting off). No formal coursework in linear algebra or calculus is required. About the technology Most businesses realize they need to apply data science and effective machine learning to gain and maintain a competitive edge. To build these applications, they need developers comfortable writing code and using tools steeped in statistics, linear algebra, and calculus. Math also plays an integral role in other modern applications like game development, computer graphics and animation, image and signal processing, pricing engines, and stock market analysis. Paul Orland is CEO of Tachyus, a Silicon Valley startup building predictive analytics software to optimize energy production in the oil and gas industry. As founding CTO, he led the engineering team to productize hybrid machine learning and physics models, distributed optimization algorithms, and custom web-based data visualizations. He has a B.S. in mathematics from Yale University and a M.S. in physics from the University of Washington.

Read more less

The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, Second Edition, you’ll learn to take advantage of Spark’s core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Unlike many Spark books written for data scientists, Spark in Action, Second Edition is designed for data engineers and software engineers who want to master data processing using Spark without having to learn a complex new ecosystem of languages and tools. You’ll instead learn to apply your existing Java and SQL skills to take on practical, real-world challenges. Key Features · Lots of examples based in the Spark Java APIs using real-life dataset and scenarios · Examples based on Spark v2.3 Ingestion through files, databases, and streaming · Building custom ingestion process · Querying distributed datasets with Spark SQL For beginning to intermediate developers and data engineers comfortable programming in Java. No experience with functional programming, Scala, Spark, Hadoop, or big data is required. About the technology Spark is a powerful general-purpose analytics engine that can handle massive amounts of data distributed across clusters with thousands of servers. Optimized to run in memory, this impressive framework can process data up to 100x faster than most Hadoop-based systems. Author BioAn experienced consultant and entrepreneur passionate about all things data, Jean-Georges Perrin was the first IBM Champion in France, an honor he’s now held for ten consecutive years. Jean-Georges has managed many teams of software and data engineers.

Read more less

Web APIs are everywhere, giving developers an efficient way to interact with applications, services, and data. Well-designed APIs are a joy to use; poorly-designed APIs are cumbersome, confusing, and frustrating. The Design of EverydayAPIs is a practical, example packed guide to crafting extraordinary web APIs. Author Arnaud Lauret demonstrates fantastic design principles and techniques you can apply to both public and private web APIs. The Design of Everyday APIs introduces you to the challenging and creative world of API design. In this experience-driven guide, you'll learn to think like an API designer, embracing effective practices for requirements gathering, blending business and technical goals, and adopting a consumer-first mindset. You'll master the lifecycle of web API design, including the all-important secure-by-design approach. This book teaches principles that can be applied in any style of API. Most examples are illustrated using REST and the OpenAPI specification. Written for developers with minimal experience building and consuming APIs. Key Features Characteristics of a well-designed API Explore the full API design lifecycle Designing user-oriented APIs Secure APIs by design Evolving existing APIs Validating your API designs Arnaud Lauret is a software architect with 15 years of experience in the banking industry. He has spent a decade using, designing, and building APIs. He’s known on the web as the API Handyman (http://apihandyman.io) and is the creator the API Stylebook (http://apistylebook.com), a collection of resources for API designers.

Read more less

React is a highly-performant tool that implements a one-way data flow model. Reasoning about an interface or application written with React ends up being much easier because it decreases overall complexity for developers working with it. React in Action introduces front-end developers to the React framework and related tools. Readers will work their way from “raw” React towards JSX, and from basic static components to ones that are dynamic and interactive. Key Features: · Clearly written · Example-rich · Hands-on Written for developers familiar with HTML, CSS, and JavaScript who want to create more robust front-end applications. About the Technology: React is an open source JavaScript framework that lets developers quickly create user interfaces for web applications.

Read more less

DESCRIPTION A growing flood of data is aimed at JavaScript applications, and they need be ready for it. As more and more data is received, applications must scale to stay operational. There’s also the problem of latency when data has to be fetched from remote locations. RxJS, or Reactive Extensions for JavaScript, is a library for transforming, composing, and consuming streams of data. RxJS combines reactive and functional programming to give an extensible, asynchronous event handling system for JavaScript. RxJS in Action gives readers the development skills they need to create reactive applications with RxJS. This book is full of theory and practical examples that build on each other and help readers begin thinking in a reactive manner. The book begins by teaching the fundamentals of functional programming, and dives in to the basics of RxJS and what it means to be reactive. Next, it teaches how to build real-world applications with RxJS. The last part of the book tackles the advanced topics to take the reader’s reactive programming skills to the next level, as they will learn how to deal with error handling, unit testing, and the role of RxJS when combined with frameworks such as Angular.js or Cycle.js. Examples in the book use RxJS 5, the latest version of RxJS built with an eye on performance and simplicity. KEY FEATURES • Full of practical examples using real-world applications • Creating readable, easy-to-understand event processing pipelines • Introduces the fundamentals of functional and reactive programming • Transforms bulky, untestable code into modular, testable expressions• Uses the latest version of RxJS AUDIENCE This book is for readers who are comfortable writing and building applications in JavaScript. ABOUT THE TECHNOLOGY RxJS combines reactive and functional programming to give programmers an extensible, asynchronous event handling system for JavaScript. RxJS is ideal for applications with features that have continuous data flows that have to fetch and combine multiple pieces of remote data, auto-complete text boxes, drag and drop, process user input, and more.

Read more less

With traditional software unit tests, there’s never a guarantee that an application will actually function correctly in the production environment. When you add microservices, testing becomes even more tricky. Testing Java Microservices teaches readers how to write tests like unit, component, integration, container, contract, chaos, and more. Along the way, it also covers technologies like the Arquillian ecosystem, Wiremock, Mockito, AssertJ, Pact or Gatling. Finally, the book demonstrates how everything fits together into the Continuous Delivery pipeline. Key Features: · Practical hands-on guide · Writing Persistence tests · Teaches test strategies · Shows how everything fits together in the Continuous Delivery Pipeline Readers should be comfortable programming in Java. Experience with testing tools like jUnit is helpful but not required. Some experience in Java EE, Spring and Docker is also helpful. About the Technology: A microservice may consist of several, several hundred, or even several thousand of lines of code. Microservices enable programmers to isolate and scale smaller pieces of an application, rather than the entire application.

Read more less

　 DESCRIPTION Distributed systems are unpredictable, and it can be an enormous challenge to manage around potentially-crippling obstacles like hardware failures, unanticipated changes in load, and network issues. Amazon Web Services (AWS) is a platform for hosting distributed applications in a secure, flexible cloud environment. AWS provides a suite of services designed to keep the focus on what an application does instead of the infrastructure required to run it. Whether serving up blog pages, analyzing fast data in real-time, building software as a service, or implementing a massive e-commerce site, AWS provides both a stable platform and services that will scale with every application. Amazon Web Services in Action introduces readers to computing, storing, and networking in the AWS cloud. It starts with a broad overview of AWS, and shows how to spin up servers manually and from the command line. Then, it explores infrastructure automation with the AWS CloudFormation service, where readers can describe a blueprint of their infrastructure as code. Readers will learn how to isolate systems using private networks to increase security, how to use the most valuable AWS managed services available on AWS, and about the benefits of stateless servers. In the end, they’ll look to the AWS model for high availability, scaling, decoupling with queues and load balancers, and fault tolerance. KEY SELLING POINTS Explains the key concepts of AWS Gives an overview of the most important services Allows readers to take full advantage of the AWS platform AUDIENCE Written for developers and DevOps engineers who are moving traditionally-deployed distributed applications to the AWS platform. No experience with AWS is required. ABOUT THE TECHNOLOGY Amazon Web Services is a platform of services in the Cloud to provide everything needed to run applications—from hosting a private blog, to running one of the biggest websites on earth, analyzing data for cancer research, or providing business applications.

Read more less

DESCRIPTION Git has emerged as the source code control system preferred by distributed development teams. Its unique decentralized architecture and lightning-fast branching allow users to concentrate on code instead of tedious admin tasks. While Git can appear to be a diverse and sprawling beast, there are a few essential concepts and techniques required to get the most out of it. This book helps build the skills needed to use Git effectively in day-to-day dev tasks. Learn Git in a Month of Lunches introduces the discipline of source code control using Git. Whether a newbie or a busy pro moving source control to Git, readers will appreciate how this book concentrates on the components of Git that are used every day. In easy-to-follow lessons designed to take an hour or less, readers can dig into Git's distributed collaboration model, along with core concepts like committing, branching, and merging. Instead of a shallow introduction to Git's massive surface area, they’ll find a road map to the commands and processes needed to be instantly productive. KEY SELLING POINTS Starts from square one—no experience required Provides a road map to essential commands and processes Easy-to-follow lessons taking an hour or less to complete AUDIENCE This book is aimed at computer professionals of all levels—both beginners of source code control and newcomers to the Git version control system ABOUT THE TECHNOLOGY Git is the extremely popular version control system that has taken the open source community by storm. It’s designed for speed and efficiency and many open source projects have switched to using Git—the popularity of GitHub and its "social coding" cannot be denied.

Read more less

Code for most web sites mostly runs on the server. When a user clicks on a link, the site reacts slowly because the browser sends information to the server and the server sends it back again before displaying the results. With near universal availability of capable browsers and powerful hardware, the single page web application (SPA) pushes most of the code to the browser, giving users immediate results, whether they’re surfing at their desk or using a phone app. Single Page Web Applications shows how to build modern browser-based apps that take advantage of stronger client platforms and more-predictable bandwidth. It covers the SPA design approach and explores new techniques like structured JavaScript and responsive design. Readers will learn to capitalize on trends like server-side JavaScript and NoSQL data stores, as well as new frameworks that make JavaScript more manageable and testable as a first-class language. AUDIENCE This book is for web developers, architects, and product managers who know about JavaScript, HTML, CSS, and web development basics. ABOUT THE TECHNOLOGY A Single Page Application (SPA) is an application delivered to the browser that does not reload the page during use.

Read more less

RETAIL SELLING POINTS A step-by-step guide to unit testing Easily create readable, maintainable, trustworthy tests Great for both novice and experienced unit testers AUDIENCE This book is written for .NET Developers and anyone else who wants to learn unit testing.

Read more less

"To me, this has always been the defacto standard for documentation on the Spring Framework. I bought the 1st edition when it first came out as we were converting alegacy app to Spring and this book was essential in learning how the current version worked." - Tony Sweets A new edition of the classic bestseller! Spring in Action, 6th Edition covers all of the new features of Spring 5.3 and Spring Boot 2.4 along with examples of reactive programming, Spring Security for REST Services, and bringing reactivity to your databases. You'll also find the latest Spring best practices, including Spring Boot for application setup and configuration. about the technologySpring Framework makes life easier for Java developers. The latest version of Spring brings its productivity-focused approach to microservices, reactive development, and other modern application designs. With Spring Boot now fully integrated, you can start even complex projects with minimal configuration code. And in recent version of Spring, the new RSocket specification makes your application's networking symmetrical—perfect for reactive design. about the bookSpring in Action, 6th Edition guides you through Spring's core features explained in Craig Walls' famously clear style. You'll roll up your sleeves and build a secure database-backed web app step by step. Along the way, you'll explore reactive programming, microservices, service discovery, RESTful APIs, deployment, and expert best practices. The latest version of a bestseller upgraded for Spring 5.3 and Spring Boot 2.4, this new edition also covers the RSocket specification for reactive networking between applications and delves deep into essential features of Spring Security. Whether you're just discovering Spring or leveling up to Spring 5.3, this Manning classic is your ticket! what's insideBuilding reactive applicationsRelational and NoSQL databasesIntegrating via HTTP and REST-based services, and sand reactive RSocket servicesReactive programming techniquesDeploying applications to traditional servers and containersSecuring applications with Spring SecurityCovers Spring 5.2 about the authorCraig Walls is a principal software engineer at Pivotal, a member of the Spring engineering team, a popular author, and a frequent conference speaker.We interviewed Craig as a part of our Six Questions series. Check it out here.

Read more less

HIGHLIGHT The expert authors of Flex 4 in Action have one goal—to help readers get down to business with Flex 4. Fast. Updated with the latest features added in Flex 4. DESCRIPTION Flex 4 in Action is an easy-to-follow, hands-on Flex 4 tutorial. Revised and updated from the previous edition on Flex 3, this book is chock-full of examples, goes beyond feature coverage, and helps readers put Flex to work in real day-to-day tasks. This book helps Flex developers make their Flex applications stand out from the crowd. How comprehensive is Flex 4 in Action? • Interesting themes, styles, and skins? It’s in there. • Working with databases? You got it. • Interactive forms and validation? You bet. • Charting techniques to help you visualize data? Bam! Many Flex books are overwhelming to new users—focusing on the complexities of the language and super-specialized subjects in the Flex ecosystem. Flex 4 in Action filters out the noise and dives into the core topics users need every day. Using numerous easy-to-understand examples, Flex 4 in Action provides a strong foundation that readers can build on as the complexity of their projects increases. KEY POINTS • Expert authors have been working with Flex since the first version • Comprehensive yet easy to follow • Numerous do-this-every-day examples • Gets users ramped up and productive very quickly! • Makes the entry into using Flex fun, easy, and less scary This book is written for the millions of day-to-day web designers and developers who need to learn Flex to stay current.

Read more less

KEY POINTS• Accurate, practical techniques for SQL Server 2008 administration• Easy-to-use task-based reference format• Over 100 specific tips, procedures, and best practices SQL Server 2008 Administration isn’t a standard SQL Server tutorial—thereare dozens of those to choose from. Instead, this book breaks down the role of“SQL Server Administrator” into its key focus areas and tasks and details thetechniques and best practices that make an administrator effective.In this book, a reader can quickly identify a task and find the best practiceassociated with it. For example, a reader looking for information about indexingwould find step-by-step procedures for identifying and dropping unusedindexes, creating missing indexes, selecting the appropriate clustered index,and so forth.Each technique is presented in a clea

Read more less

HIGHLIGHT The expert authors of Flex 3 in Action have one goal—to help you get down to business with Flex 3. Fast. DESCRIPTION Flex 3 in Action is an easy-to-follow, hands-on Flex 3 tutorial. Chock-full of examples, this book goes beyond feature coverage and helps readers put Flex to work in real day-to-day tasks. This book helps Flex developers make their Flex applications stand out from the crowd. How comprehensive is Flex 3 in Action? • Interesting themes, styles, and skins? It’s in there. • Working with databases? You got it. • Interactive forms and validation? You bet. • Charting techniques to help you visualize data? Bam! Many Flex books are overwhelming to new users—focusing on the complexities of the language and super-specialized subjects in the Flex eco-system. Flex 3 in Action filters out the noise and dives into the core topics users need every day. Using numerous easy-to-understand examples, Flex 3 in Action provides a strong foundation that readers can build on as the complexity of their projects increases. KEY POINTS • Expert authors have been working with Flex since the first version • Comprehensive yet easy to follow • Numerous do-this-every-day examples • Gets users ramped up and productive very quickly! • Makes the entry into using Flex fun, easy, and less scary This book is written for the millions of day-to-day web designers and developers who need to learn Flex to stay current. MARKET INFORMATION New web applications require engaging user-friendly interfaces—and the cooler, the better. With Flex 3, web developers at any skill level can create high-quality, effective, and interactive Rich Internet Applications (RIAs) quickly and easily. Flex removes the complexity barrier from RIA development by offering sophisticated tools and a straightforward programming language so you can focus on what you want to do instead of how to do it. And now that the major components of Flex are free and open-source, the cost barrier is gone, as well!

Read more less

EJB 3 is the most important innovation introduced in Java EE 5.0. EJB 3 simplifiesenterprise development, abandoning the complex EJB 2.x model in favorof a lightweight POJO framework. The new API represents a fresh perspectiveon EJB without sacrificing the mission of enabling business application developersto create robust, scalable, standards-based solutions.EJB 3 in Action is a fast-paced tutorial, geared toward helping you learn EJB 3and the Java Persistence API quickly and easily. For newcomers to EJB, this bookprovides a solid foundation in EJB. For the developer moving to EJB 3 from EJB2, this book addresses the changes both in the EJB API and in the way the developershould approach EJB and persistence.

Read more less

HIGHLIGHT Open Source SOA shows readers how to build state-of-the-art SOA applications using freely-available open-source technologies. DESCRIPTION You can build a world-class SOA infrastructure entirely using popular, and mature, open-source applications. Unfortunately, the technical documentation for most open-source projects focuses on a specific product, the big SOA picture. You're left to your own devices to figure out how to cobble together a full solution from the various bits. In other words, unless you already know how Mule and Tuscany work with jBPM, you're stuck. Open Source SOA shows readers how to build an entire SOA application using open-source technologies. It shows readers how to apply key ideas like Enterprise Service Bus (ESB) design and Business Process Management (BPM) and learn the tools and techniques to implement them effectively. To pull everything together, the author describes real-life case studies from his own work to tie together all the principles and practices. These hard-to-find case studies are pure gold for the reader, as most developers keep these trade secrets to themselves. KEY POINTS • Theory—what SOA really represents • Enablers—SOA core technologies • Open-source applications that address the core technology • Best-of-breed open-source solutions • Real-life case studies MARKET INFORMATION SOA is a fact of life for enterprise developers. Open source technologies have caught up with—and in many cases, surpassed—their commercial rivals in terms of power, ease of use, and sophistication. This book shows a Java EE developer how to apply SOA techniques using the best-of-breed open-sources tools.

Read more less

ADO.NET, Microsoft's new data access technology, provides all the standard data access capabilities you would expect. It also solves the unique problems associated with disconnected database access needed for robust n-tier and web applications. ADO.NET Programming covers database programming in .NET and illustrates important steps with nice examples. It shows you how you can achieve effortless separation of data presentation from data access; how to easily go from relational data to XML, and back; how to bind data directly to the Web and Windows Controls; how to write generic access code that talks to multiple databases without change; and much more. Along the way, it illuminates with well-focused examples, points out the gotchas, and teaches best practices. What's inside: Examples in SQL Server, Oracle and MS Access Disconnected data with the DataSet Moving between relational data and XML Binding data to Window an

Read more less

　 DESCRIPTION Elixir is a functional programming language built on the Erlang virtual machine. It combines the productivity and expressivity of Ruby with the concurrency and fault-tolerance of Erlang. Elixir makes full use of Erlang's powerful OTP library, which many developers consider the source of Erlang's greatness, so programmers can have mature, professional-quality functionality right out of the gate. Elixir's support for functional programming makes it a great choice for highly distributed event-driven applications like IoT systems. The Little Elixir & OTP Guidebook gets readers programming applications with Elixir and OTP. First, it offers a quick overview of the Elixir language syntax, along with just enough functional programming to use it effectively. Then, it dives straight into OTP and shows how it helps build scalable, fault-tolerant, and distributed applications through several fun examples. Readers will rediscover the joy of programming with Elixir and remember what it feels like to be a beginner again. KEY FEATURES  Hand-on guide with fun examples  Gets readers building programs quickly  Brings back the joy of programming AUDIENCE Written for readers comfortable with a standard programming language like Ruby, Java, or Python. Experience with Erlang or another functional programming language is helpful. ABOUT THE TECHNOLOGY There is now a huge interest in functional programming languages such as Scala, Clojure, F#, Erlang and Haskell. Part of this reason is that these languages are better suited to exploit multi-core processors. Elixir is a functional programming language built on the Erlang virtual machine. It combines the productivity and expressivity of Ruby with the concurrency and fault-tolerance of Erlang.

Read more less

This fully revised second edition of Machine Learning with TensorFlow teaches you the foundational concepts of machine learning and how to utilize the TensorFlow library to rapidly build powerful ML models. You’ll learn the basics of regression, classification, and clustering algorithms, applying them to solve real-world challenges. New and revised content expands coverage of core machine learning algorithms and advancements in neural networks such as VGG-Face facial identification classifiers and deep speech classifiers. Written by NASA JPL Deputy CTO and Principal Data Scientist Chris Mattmann, all examples are accompanied by downloadable Jupyter Notebooks for a hands-on experience coding TensorFlow with Python. Key Features · Visualizing algorithms with TensorBoard · Understanding and using neural networks · Reproducing and employing predictive science · Downloadable Jupyter Notebooks for all examples · Questions to test your knowledge · Examples use the super-stable 1.14.1 branch of TensorFlow Developers experienced with Python and algebraic concepts like vectors and matrices. About the technology TensorFlow, Google’s library for large-scale machine learning, makes powerful ML techniques easily accessible. It simplifies often-complex computations by representing them as graphs that are mapped to machines in a cluster or to the processors of a single machine. Offering a complete ecosystem for all stages and types of machine learning, TensorFlow’s end-to-end functionality empowers machine learning engineers of all skill levels to solve their problems with ML. Chris Mattmann is the Deputy Chief Technology and Innovation Officer at NASA Jet Propulsion Lab, where he has been recognised as JPL's first Principal Scientist in the area of Data Science. Chris has applied TensorFlow to challenges he’s faced at NASA, including building an implementation of Google’s Show & Tell algorithm for image captioning using TensorFlow. He contributes to open source as a former Director at the Apache Software Foundation, and teaches graduate courses at USC in Content Detection and Analysis, and in Search Engines and Information Retrieval. Nishant Shukla wrote the first edition of Machine Learning with TensorFlow.

Read more less

Most machine learning systems that are deployed in the world today learn from human feedback. However, most machine learning courses focus almost exclusively on the algorithms, not the human-computer interaction part of the systems. This can leave a big knowledge gap for data scientists working in real-world machine learning, where data scientists spend more time on data management than on building algorithms. Human-in-the-Loop Machine Learning is a practical guide to optimizing the entire machine learning process, including techniques for annotation, active learning, transfer learning, and using machine learning to optimize every step of the process. Key Features · Active Learning to sample the right data for humans to annotate · Annotation strategies to provide the optimal interface for human feedback · Supervised machine learning design and query strategies to support Human-in-the-Loop systems · Advanced Adaptive Learning approaches · Real-world use cases from well-known data scientists For software developers and data scientists with some basic Machine Learning experience. About the technology “Human-in-the-Loop machine learning” refers to the need for human interaction with machine learning systems to improve human performance, machine performance, or both. Ongoing human involvement with the right interfaces expedites the efficient labeling of tricky or novel data that a machine can’t process, reducing the potential for data-related errors. Robert Munro has built Annotation, Active Learning, and machine learning systems with machine learning-focused startups and with larger companies including Amazon, Google, IBM, and most major phone manufacturers. If you speak to your phone, if your car parks itself, if your music is tailored to your taste, or if your news articles are recommended for you, then there is a good chance that Robert contributed to this experience. Robert holds a PhD from Stanford focused on Human-in-the-Loop machine learning for healthcare and disaster response, and is a disaster response professional in addition to being a machine learning professional. A worked example throughout this text is classifying disaster-related messages from real disasters that Robert has helped respond to in the past.

Read more less

Description Microservices are independent, single-responsibility units of code that form a system with other microservices. It's difficult to test an individual microservice since each one depends on the other services. Mountebank solves this conundrum through service virtualization - imitating other components in the system so that you can test a microservice in isolation. Testing Microservices with Mountebank is your guide to the ins and outs of testing microservices with service virtualization. This book also explains using mountebank for load testing, in a continuous delivery pipeline, and more. Key features · Hands-on examples · Step-by-step guide · Clearly written Audience Readers need programming skills and should be generally familiar with SOA or microservice systems. About the technology Mountebank is the most capable service virtualization tool around, providing a programmable stand-in for a real dependency. As the only open-source virtualization tool with support for multiple protocols and scaling for load testing mountebank isn't snake oil; it's the cure-all for all your service virtualization needs. Author biography Brandon Byars is a principal consultant at ThoughtWorks with longstanding experience in SOA and microservices. He is the author and chief maintainer of Mountebank and has helped multiple companies use it for testing a variety of systems.

Read more less

Description The Angular 2 framework is great for building large-scale web applications that can be maintained and extended. And when building enterprise-level apps, testing is vital to the development process. Testing improves the quality of code and reduces maintenance, saving both time and money. Even though testing is crucial, it’s sometimes neglected since there are few established resources and standards when it comes to modern JavaScript web applications. Developers who know how to build and leverage tests are highly valued by their clients and companies. Testing Angular Applications is an example-rich, hands-on guide that gives the real-world techniques needed to thoroughly test all parts of Angular 2 applications. The book starts with an introduction to Angular 2, TypeScript, testing fundamentals, and the testing frameworks and tools used in the book. Next, it explains how to set-up an Angular 2 environment, including TypeScript and the Angular 2 dependencies. The reader will then create their first component. The second part of the book focuses on the most important concepts of Angular 2, such as testing components, directives, pipes, services, and routing. This book will allow readers to confidently write unit and endto-end tests for Angular 2 applications and TypeScript. Key features • Testing components, directives, services and pipes • Real-world techniques • Hands-on examples • Foundation for writing advances tests • Provides code that can be reused in a production environment Audience This book is for readers with intermediate JavaScript skills and some experience with JavaScript frameworks. No experience with testing or Angular required. About the Technology Angular 2 is the latest version of the popular web application framework built by Google and its army of community contributors. Angular 2 is a mobile-first framework that promises to be fast, flexible, and expressive. The Angular 2 syntax is clean and easy to read, which lends itself nicely to rapid development and assists in writing tests.

Read more less

DESCRIPTION The modern "data center" is a complex arena, with physical and virtual servers, multiple OS environments, and complex networking that frequently spans multiple locations. The need to simplify has never been greater. Mesos, an innovative open-source cluster management platform, transforms the whole data center into a single pool of compute, memory, and storage resources that can be allocated, automated, and scaled as if working with a single super-computer. Mesos is an ideal environment for deploying containerized applications at scale, and it's generating a huge buzz in the big data world as a saner environment for running Spark and Hadoop. Mesos in Action introduces the Apache Mesos cluster manager and the concept of application-centric infrastructure. It guides readers from their first steps in deploying a highly-available Mesos cluster through deploying applications in production and writing native Mesos frameworks. It will show how to scale to thousands of nodes, while providing resource isolation between processes using Linux and Docker containers. It contains practical techniques for deploying applications using popular key frameworks, including Marathon, Chronos, and Aurora. Along the way, the book dives into Mesos internals, including fault tolerance, slave attributes, and resource scheduling and Mesos administration, including logging, monitoring, framework authorization, and slave recovery. KEY FEATURES  Gets readers up and running quickly  Covers need to know key concepts  Combines community knowledge with real-world experience AUDIENCE Readers should be familiar with the core ideas of data center administration, including networking, virtualization, and application deployment on Linux systems. The Python-based code examples should be clear to readers using Mesos bindings for other popular languages, including C++, Go, and Scala. ABOUT THE TECHNOLOGY Apache Mesos is clustering software that allows IT professionals to abstract datacenter resources – CPU, memory, and storage – away from physical and virtual infrastructure and into a Mesos cluster. This allows software developers to write applications that use entire data centers as if they were a single, large computer.

Read more less

　 DESCRIPTION Windows administrators will want this book open on their desk most of the time. With over 40 short chapters, each focused on a specific area of PowerShell, they’ll be able to find answers fast. Each valuable technique was developed and thoroughly tested by seasoned PowerShell experts, so they’ll be able to consistently produce production quality, maintainable scripts that will save countless hours of time and effort. PowerShell in Depth, Second Edition is the go-to reference for administrators working with Windows PowerShell. Every major technique, technology, and tactic is carefully explained and demonstrated, providing a hands-on guide to almost everything an admin would do in the shell. Written by three experienced authors and PowerShell MVPs, this is the PowerShell book readers will keep next to their monitors—not on their bookshelf! 　 RETAIL SELLING POINTS Provides in-depth coverage of PowerShell Written by acknowledged world class PowerShell experts Shows how to solve real-world administrative problems AUDIENCE This book assumes readers know the basics of PowerShell. ABOUT THE TECHNOLOGY PowerShell is an automation engine for Windows systems. It is being built into all major Microsoft products and many third party products. PowerShell allows for the automations of day to day administration tasks and is a must learn technology for administrators.

Read more less

　 It's a lot harder to make sense out of data when it's coming at full speed. Apache Storm’s efficient stream processing capabilities are relied upon by giants like Twitter and Yahoo for swiftly extracting intelligence from their Big Data streams. Fault tolerant guarantees of Storm make it an invaluable and versatile platform in the Big Data landscape. It integrates seamlessly with battle-tested message queuing systems (like Kafka) and NoSQL databases (like Cassandra). Storm is built to run on the JVM but provides straightforward extensions for working with non-JVM languages like Ruby and Python. Storm Applied is a practical guide to using Apache Storm for the real-world tasks associated with processing and analyzing real-time data streams. The book starts by building a solid foundation of the Storm essentials. Then, it quickly dives into real-world case studies that will bring the novice up to speed with productionizing Storm: the knowledge needed to scale a high throughput stream processor and ensure smooth operation within a production cluster. It moves on to teach readers how to use Trident to treat streams as batches for solving a different class of problems, and covers the tools available within the Storm open source community that are crucial for any seasoned Storm developer. 　 RETAIL SELLING POINTS Immediately useful practical guide Applies Storm to real-world use cases Takes Storm from development to a fully tuned and optimized production setup AUDIENCE While prior experience with Storm is not necessary, acquaintance with related Big Data problem solving is helpful. Basic understanding of Java or similar JVM language and concurrency is assumed. DESCRIBE THE TECHNOLOGY Storm is a tool that can be used for processing "big data" in real-time. Think performing real-time analysis of all the tweets going through Twitter.

Read more less